Senior Data Scientist II at Careem

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Predictive Modelling, Time Series Analysis, Machine Learning, Big Data, Deep Learning, Personalization, Recommendation, Search, Python, SQL, Spark, Hive, AB Testing, Business Intelligence, Data Visualization

Industry

Software Development

Description

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan. About the team The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region’s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI. What you'll do Be part of a 0-1 AI transformation for the Careem app from a personalization perspective. Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making. Drive exploratory analysis to understand the ecosystem, user behaviour, and identify new levers to help move metrics and build models of user behaviours for analysis and product enhancements. Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products. Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions Implement scalable machine learning algorithms that will be used in production on big data. Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization. Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way. Help define and track the appropriate key metrics for specific projects. Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams. You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices. Build and deploy retrieval augmented generation systems and other applications of large language models. What you'll need 6 - 8 years of experience in data mining, predictive modelling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data. Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science. Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc) 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company. Strong problem-solving and coding skills. Solid knowledge of AB testing, classic ML, and DL Solid understanding of recommendations, ranking, and retrieval. Proficiency and demonstrated experience in: Python, SQL, Spark, Hive. Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL). Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.

Responsibilities

The Senior Data Scientist II will drive AI transformation for the Careem app, focusing on personalization and user engagement strategies. They will build and optimize data/ML models, conduct exploratory analyses, and provide data-driven recommendations to influence product and business decisions.